首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    Recent Findings in Robotics Described by Researchers from College of Mechanical and Electrical Engineering (An Intelligent Apple Identification Method Via the C ollaboration of Yolov5 Algorithm and Fast-guided Filter Theory)

    61-62页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Robotics. Acc ording to news originating from Zhengzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Apple-picking robot can promote the developme nt of smart agriculture, and accurate object recognition in complex natural envi ronments using deep learning algorithms is critical. However, research has shown that changes in illumination and object occlusion remain significant challenges for recognition.”

    New Androids Findings from National Taiwan University Described (Implementation of Engagement Detection for Human-Robot Interaction in Complex Environments)

    62-62页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on an droids. According to news reporting out of Taipei, Taiwan, by NewsRx editors, re search stated, “This study develops a comprehensive robotic system, termed the r obot cognitive system, for complex environments, integrating three models: the e ngagement model, the intention model, and the human-robot interaction (HRI) mode l.” Financial supporters for this research include National Science And Technology C ouncil.

    Data from Harbin Institute of Technology Provide New Insights into Robotics (Dim ensional synthesis of an Inspection Robot for SG tube-sheet)

    63-63页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in robotics. According to news originating from Harbin, People’s Republic of China, by NewsRx correspondents, research stated, “To ensure the operational safety of nuclear power plants, we present a Quadruped Inspection Robot that can be used for many types of steam generators.” Funders for this research include State Key Laboratory of Robotics And System; N ational Natural Science Foundation of China; Harbin Institute of Technology.

    Recent Studies from National Institute of Metrology Add New Data to Robotics (Ro bust and Convergent Distributed Cooperative Localization With Labeled Bernoulli Random Finite Set)

    64-64页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on Robotics are discussed in a new report. According to news reporting originating from Beijing, People’s Repub lic of China, by NewsRx correspondents, research stated, “Cooperative localizati on (CL) is critical for multirobot systems to accurately ascertain their positio ns in the environment. This article presents a robust and convergent distributed CL algorithm to effectively address localization inaccuracies and inconsistency caused by intermittent or limited absolute observation capabilities.”

    New Machine Learning Findings from Guangdong Technion - Israel Institute of Tech nology Outlined (Measuring Spherical and Nonspherical Binary Particles: Mixing a nd Segregation In a Rotating Drum Using Machine Learning-assisted Image Processi ng)

    65-65页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news originating from Shantou, People’s Republic of China, by NewsRx correspondents, research stated, “Rotating drum experiments on binary mixtures of plastic spheres with wood spheres, wood cylinders, plastic cylinders, and wood cubes were investigated, respectively. A high-resolution ca mera was employed to record the flow behaviors of the binary mixtures.”

    Research Data from Ocean University of China Update Understanding of Machine Lea rning (Combination of Virtual Screening, Machine Learning, Molecular Dynamics Si mulations and Sensory Evaluation To Discover Novel Umami Peptides From Fermented ...)

    66-66页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on Machine Learning have been prese nted. According to news reporting out of Qingdao, People’s Republic of China, by NewsRx editors, research stated, “The aim of this study was to explore the effe ct of fermentation with Lactobacillus helveticus Lh191404 on the umami character istics of Atlantic cod and to elucidate the umami mechanism of the peptide. Post -fermentation significant increases in sweet amino acids (Threonine (Thr), Seri ne (Ser), Proline (Pro), Glycine (Gly), Alanine (Ala)) and umami amino acids (As partic acid (Asp), Glutamic acid (Glu)) enhanced the palatability and umami inte nsity of surimi.”

    Laval University Reports Findings in Artificial Intelligence (The effects of art ificial intelligence on human resource activities and the roles of the human res ource triad: opportunities and challenges)

    67-67页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news originating from Quebec, Canada, by NewsRx correspondents, research stated, “This study analyzes the existing ac ademic literature to identify the effects of artificial intelligence (AI) on hum an resource (HR) activities, highlighting both opportunities and associated chal lenges, and on the roles of employees, line managers, and HR professionals, coll ectively referred to as the HR triad. We employed the scoping review method to c apture and synthesize relevant academic literature in the AI-human resource mana gement (HRM) field, examining 27 years of research (43 peer-reviewed articles ar e included).”

    Shenyang University of Technology Researcher Updates Current Data on Machine Lea rning (Tribological Behavior Analysis of Valve Plate Pair Materials in Aircraft Piston Pumps and Friction Coefficient Prediction Using Machine Learning)

    68-68页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on artificial intelligence are present ed in a new report. According to news originating from Shenyang, People’s Republ ic of China, by NewsRx correspondents, research stated, “To address the problem of tribological failure in an aircraft piston pump valve plate pair, the frictio n and wear properties of the valve plate pair materials (W9Mo3Cr4V-HAl61-4-3-1) of an axial piston pump at a certain speed and load were studied using a disc-ri ng tester under lubrication with No. 15 aviation hydraulic oil.” Funders for this research include National Natural Science Foundation of China; Nit Natural Science Foundation.

    Findings from University of Maryland in Machine Learning Reported (Tactile Sensi ng and Grasping Through Thin-shell Buckling)

    69-69页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating in College Park , Maryland, by NewsRx journalists, research stated, “Soft and lightweight grippe rs have greatly enhanced the performance of robotic manipulators in handling com plex objects with varying shape, texture, and stiffness. However, the combinatio n of universal grasping with passive sensing capabilities still presents challen ges.” Financial support for this research came from A. James Clark School of Engineeri ng.

    Investigators from Wuhan University Release New Data on Machine Learning (Gnss N los Detection Method Based On Stacking Ensemble Learning and Applications In Sma rtphones)

    70-71页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating from Hubei, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “Global Sate llite Navigation System (GNSS) has been widely used in various high-precision po sitioning services and has become an indispensable part of daily production and life. However, in urban environments, GNSS is highly susceptible to interference from non-line-of-sight (NLOS) signals, resulting in a sharp deterioration in po sitioning accuracy.” Financial supporters for this research include Young Elite Scientists Sponsorshi p Program by CAST, National Natural Science Foundation of China (NSFC), Fundamen tal Research Funds for the Central Universities.